使用 R 闪亮滑块调整派对包 ctree 图的大小

Question

如何使用 R shiny 中的反应性输入来调整 ctree 的输出大小？

我的尝试

ui:

rm(list=ls())

library(shiny)
library(party)

# Define the overall UI
shinyUI(fluidPage(
  titlePanel("Unbiased Recursive Partitioning"),

  sidebarLayout(
    sidebarPanel(   
      actionButton("go", "Plot URP-Ctree")
    ),

    mainPanel(
      # Create a new row for the URP plot.
      sliderInput("sliderWidth", label = "", min = 10, max = 3000, value = 1000),
      sliderInput("sliderHeight", label = "", min = 10, max = 3000, value = 1000),
      plotOutput("plot")
    ))
  )
)

服务器：

# server.R
rm(list=ls())

CCS<-c(41, 45, 50, 50, 38, 42, 50, 43, 37, 22, 42, 48, 47, 48, 50, 47, 41, 50, 45, 45, 39, 45, 46, 48, 50, 47, 50, 21, 48, 50, 48, 48, 48, 46, 36, 38, 50, 39, 44, 44, 50, 49, 40, 48, 48, 45, 39, 40, 44, 39, 40, 44, 42, 39, 49, 50, 50, 48, 48, 47, 48, 47, 44, 41, 50, 47, 50, 41, 50, 44, 47, 50, 24, 40, 43, 37, 44, 32, 43, 42, 44, 38, 42, 45, 50, 47, 46, 43,
       37, 47, 37, 45, 41, 50, 42, 32, 43, 48, 45, 45, 28, 44,38, 41, 45, 48, 48, 47 ,49, 16, 45, 50, 47, 50, 43, 49, 50)

X1.2Weeks<-c(NA,NA,NA,NA,NA,1,2,2,2,NA,2,2,2,2,2,2,2,NA,NA,2,2,2,2,NA,2,2,2,2,2,2,2,NA,NA,NA,NA,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,NA,2,2,2,2,2,2,2,2,2,2,NA,2,2,2,2,2,2,2,2,2,2,2,1,2,2,2,2,2,1,2,2,2,2,2,1,1,2,2,2,2,2,2,2,2,2,2,2,2,2,1,1,2,2,1,2,2,2)
X2.2Weeks<-c(NA,NA,NA,NA,NA,NA,2,2,2,NA,NA,2,2,2,2,2,2,NA,2,2,2,2,2,NA,2,2,2,2,2,2,2,NA,NA,NA,NA,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,NA,2,2,2,2,2,2,2,2,2,2,2,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,1,2,2,2,2,2,2,1,2,2,2,2,2,2,2)
X3.2Weeks<-c(NA,35,40,NA,10,NA,31,NA,14,NA,NA,15,17,NA,NA,16,10,15,14,39,17,35,14,14,22,10,15,0,34,23,13,35,32,2,14,10,14,10,10,10,40,10,13,13,10,10,10,13,13,25,10,35,NA,13,NA,10,40,0,0,20,40,10,14,40,10,10,10,10,13,10,8,NA,NA,14,NA,10,28,10,10,15,15,16,10,10,35,16,NA,NA,NA,NA,30,19,14,30,10,10,8,10,21,10,10,35,15,34,10,39,NA,10,10,6,16,10,10,10,10,34,10)
X4.2Weeks<-c(NA,NA,511,NA,NA,NA,NA,NA,849,NA,NA,NA,NA,1324,1181,832,1005,166,204,1253,529,317,294,NA,514,801,534,1319,272,315,572,96,666,236,842,980,290,843,904,528,27,366,540,560,659,107,63,20,1184,1052,214,46,139,310,872,891,651,687,434,1115,1289,455,764,938,1188,105,757,719,1236,982,710,NA,NA,632,NA,546,747,941,1257,99,133,61,249,NA,NA,1080,NA,645,19,107,486,1198,276,777,738,1073,539,1096,686,505,104,5,55,553,1023,1333,NA,NA,969,691,1227,1059,358,991,1019,NA,1216)
x4.3Weeks<-c(NA,NA,511,NA,NA,NA,NA,NA,0,NA,NA,72,NA,1324,1181,832,1005,166,204,1253,529,317,294,NA,514,801,534,1319,272,315,572,96,666,236,842,980,290,843,904,528,27,366,540,560,659,107,63,20,1184,1052,214,46,139,310,872,891,651,687,434,1115,1289,455,764,938,1188,105,757,719,1236,982,710,NA,NA,632,NA,546,747,941,1257,99,133,61,249,NA,NA,1080,NA,645,19,107,486,1198,276,777,738,1073,539,1096,686,505,104,5,55,553,1023,1333,NA,NA,969,691,1227,1059,358,991,1019,NA,1216)

dat<-as.data.frame(cbind(CCS,X1.2Weeks,X2.2Weeks,X3.2Weeks,X4.2Weeks,x4.3Weeks))


library(shiny)
library(party)

shinyServer(function(input, output, clientData, session) {


  sliderWidth<-reactive({
    as.integer(input$sliderWidth)
  })

  sliderHeight<-reactive({
    as.integer(input$sliderHeight)
  })


  # Construct URP-Ctree
  output$plot <- renderPlot({ 
    if(input$go==0){
      return()
    }
    else {
      isolate({
        an<-"CCS"
        # Only columns with "2Weeks" as part of their title are selected as predictors
        control_preds<-"2Weeks"

        preds<-names(dat)[grepl(paste(control_preds),names(dat))]
        datSubset<-subset(dat,dat[,an]!="NA")  
        anchor <- datSubset[,an]
        predictors <- datSubset[,preds]
        urp<-ctree(anchor~., data=data.frame(anchor,predictors))
        plot(urp) 
      })
    }
  },height = 500, width = 500)
  # },height = sliderHeight(), width = sliderWidth())<-- Causes error
})

运行上面的代码点击按钮后你应该得到一个ctree。但是，滑块不执行任何操作。如果将 renderPlot 的高度和宽度参数更改为 500 以外的值，则绘图的大小会发生变化。如何让滑块控制高度和宽度？

当我尝试在最后一行使用 height = sliderHeight(), width = sliderWidth() 运行服务器时，我得到：

Error in .getReactiveEnvironment()$currentContext() : 
  Operation not allowed without an active reactive context. (You tried to do something that can only be done from inside a reactive expression or observer.)

而且我很困惑，因为我使用了反应式表达式。

Answer 1

两个月后，我付给我最好的朋友 500 美元来解决这个问题。下面的代码，我不知道为什么反应式表达式中的反应式表达式可以解决这个问题。 ui保持不变。

# server.R
rm(list=ls())

CCS<-c(41, 45, 50, 50, 38, 42, 50, 43, 37, 22, 42, 48, 47, 48, 50, 47, 41, 50, 45, 45, 39, 45, 46, 48, 50, 47, 50, 21, 48, 50, 48, 48, 48, 46, 36, 38, 50, 39, 44, 44, 50, 49, 40, 48, 48, 45, 39, 40, 44, 39, 40, 44, 42, 39, 49, 50, 50, 48, 48, 47, 48, 47, 44, 41, 50, 47, 50, 41, 50, 44, 47, 50, 24, 40, 43, 37, 44, 32, 43, 42, 44, 38, 42, 45, 50, 47, 46, 43,
       37, 47, 37, 45, 41, 50, 42, 32, 43, 48, 45, 45, 28, 44,38, 41, 45, 48, 48, 47 ,49, 16, 45, 50, 47, 50, 43, 49, 50)

X1.2Weeks<-c(NA,NA,NA,NA,NA,1,2,2,2,NA,2,2,2,2,2,2,2,NA,NA,2,2,2,2,NA,2,2,2,2,2,2,2,NA,NA,NA,NA,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,NA,2,2,2,2,2,2,2,2,2,2,NA,2,2,2,2,2,2,2,2,2,2,2,1,2,2,2,2,2,1,2,2,2,2,2,1,1,2,2,2,2,2,2,2,2,2,2,2,2,2,1,1,2,2,1,2,2,2)
X2.2Weeks<-c(NA,NA,NA,NA,NA,NA,2,2,2,NA,NA,2,2,2,2,2,2,NA,2,2,2,2,2,NA,2,2,2,2,2,2,2,NA,NA,NA,NA,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,NA,2,2,2,2,2,2,2,2,2,2,2,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,1,2,2,2,2,2,2,1,2,2,2,2,2,2,2)
X3.2Weeks<-c(NA,35,40,NA,10,NA,31,NA,14,NA,NA,15,17,NA,NA,16,10,15,14,39,17,35,14,14,22,10,15,0,34,23,13,35,32,2,14,10,14,10,10,10,40,10,13,13,10,10,10,13,13,25,10,35,NA,13,NA,10,40,0,0,20,40,10,14,40,10,10,10,10,13,10,8,NA,NA,14,NA,10,28,10,10,15,15,16,10,10,35,16,NA,NA,NA,NA,30,19,14,30,10,10,8,10,21,10,10,35,15,34,10,39,NA,10,10,6,16,10,10,10,10,34,10)
X4.2Weeks<-c(NA,NA,511,NA,NA,NA,NA,NA,849,NA,NA,NA,NA,1324,1181,832,1005,166,204,1253,529,317,294,NA,514,801,534,1319,272,315,572,96,666,236,842,980,290,843,904,528,27,366,540,560,659,107,63,20,1184,1052,214,46,139,310,872,891,651,687,434,1115,1289,455,764,938,1188,105,757,719,1236,982,710,NA,NA,632,NA,546,747,941,1257,99,133,61,249,NA,NA,1080,NA,645,19,107,486,1198,276,777,738,1073,539,1096,686,505,104,5,55,553,1023,1333,NA,NA,969,691,1227,1059,358,991,1019,NA,1216)
x4.3Weeks<-c(NA,NA,511,NA,NA,NA,NA,NA,0,NA,NA,72,NA,1324,1181,832,1005,166,204,1253,529,317,294,NA,514,801,534,1319,272,315,572,96,666,236,842,980,290,843,904,528,27,366,540,560,659,107,63,20,1184,1052,214,46,139,310,872,891,651,687,434,1115,1289,455,764,938,1188,105,757,719,1236,982,710,NA,NA,632,NA,546,747,941,1257,99,133,61,249,NA,NA,1080,NA,645,19,107,486,1198,276,777,738,1073,539,1096,686,505,104,5,55,553,1023,1333,NA,NA,969,691,1227,1059,358,991,1019,NA,1216)

dat<-as.data.frame(cbind(CCS,X1.2Weeks,X2.2Weeks,X3.2Weeks,X4.2Weeks,x4.3Weeks))


library(shiny)
library(party)

shinyServer(function(input, output, clientData, session) {


  sliderWidth<-reactive({
    as.integer(input$sliderWidth)
  })

  sliderHeight<-reactive({
    as.integer(input$sliderHeight)
  })


  # Construct URP-Ctree
  output$plot <- renderPlot({ 
    if(input$go==0){
      return()
    }
    else {
      isolate({
        an<-"CCS"
        # Only columns with "2Weeks" as part of their title are selected as predictors
        control_preds<-"2Weeks"

        preds<-names(dat)[grepl(paste(control_preds),names(dat))]
        datSubset<-subset(dat,dat[,an]!="NA")  
        anchor <- datSubset[,an]
        predictors <- datSubset[,preds]
        urp<-ctree(anchor~., data=data.frame(anchor,predictors))
        plot(urp) 
      })
    }
  }, height = reactive({sliderHeight()}), width = reactive({sliderWidth()}))
})

您可以在上面的宽度和高度参数中看到，我对自身的反应式调用需要在反应式表达式中。

使用 R 闪亮滑块调整派对包 ctree 图的大小

Resize party package ctree plot using a R shiny slider

r

resize-image

party

shiny

r-grid